In terms of Quality, how good is Bonsai 8B?

<!-- SC_OFF --><div class="md"><p>Did anyone used it for real code writing fixing?<br /> How does it compare to Qwen3.6 27B Q4 Q8 in real life tasks not in benchmaxing?</p>

<!-- SC_OFF --><div class="md"><p>bonsai claim 98.2% intelligent retained, but their own documents show <em>Ternary Bonsai 2 27B reaches 52.8 and 60.8, respectively, compared with

<!-- SC_OFF --><div class="md"><p>Long time Claude Opus user, but after the recent session limit changes by Anthropic, I am seriously considering trying Chinese models for coding.

<!-- SC_OFF --><div class="md"><p>Now that we got some serious players in the game, which model would you use for which task?</p> </div><!-- SC_ON --> &#32; submitted by &#32; <a

<!-- SC_OFF --><div class="md"><p>Just been playing around with PrismML's 1-bit 8B LLM and its legit. Now the question is can turboquant be used with it? seemingly yes? </p>

&#32; submitted by &#32; <a href="https://www.reddit.com/user/yogthos"> /u/yogthos </a> <br /> <span><a href="https://prismml.com/news/bonsai-27b">[link]</a></span> &#32; <span><a

<!-- SC_OFF --><div class="md"><p>so as it says, I am not a FE eng, but want to do some light FE work<br /> I don't need the smartest model but need to get some work done.<br /> I

<!-- SC_OFF --><div class="md"><p>Title says it, is anyone having any luck with the Ternary Bonsai 27B DFlash? I have been playing around with it but have seen no speed up